NDVI

Dataset statistics

Number of variables	18
Number of observations	26458
Missing cells	192211
Missing cells (%)	40.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.6 MiB
Average record size in memory	144.0 B

Variable types

Numeric	10
Categorical	8

Alerts

`2013` is highly correlated with `2014` and 14 other fields	High correlation
`2014` is highly correlated with `2013` and 14 other fields	High correlation
`2015` is highly correlated with `LAT` and 12 other fields	High correlation
`2016` is highly correlated with `2013` and 11 other fields	High correlation
`2017` is highly correlated with `LAT` and 15 other fields	High correlation
`2018` is highly correlated with `2013` and 14 other fields	High correlation
`2019` is highly correlated with `2013` and 14 other fields	High correlation
`2020` is highly correlated with `2013` and 7 other fields	High correlation
`LABEL2020` is highly correlated with `2013` and 14 other fields	High correlation
`LABEL2017` is highly correlated with `2013` and 11 other fields	High correlation
`LABEL2016` is highly correlated with `2013` and 13 other fields	High correlation
`LABEL2018` is highly correlated with `2013` and 11 other fields	High correlation
`LABEL2019` is highly correlated with `2013` and 11 other fields	High correlation
`LABEL2014` is highly correlated with `2013` and 13 other fields	High correlation
`LABEL2013` is highly correlated with `2013` and 13 other fields	High correlation
`LABEL2015` is highly correlated with `2013` and 13 other fields	High correlation
`LAT` is highly correlated with `2015` and 1 other fields	High correlation
`LABEL2013` has 24111 (91.1%) missing values	Missing
`LABEL2014` has 24081 (91.0%) missing values	Missing
`LABEL2015` has 24080 (91.0%) missing values	Missing
`LABEL2016` has 24080 (91.0%) missing values	Missing
`LABEL2017` has 24051 (90.9%) missing values	Missing
`LABEL2018` has 23977 (90.6%) missing values	Missing
`LABEL2019` has 23938 (90.5%) missing values	Missing
`LABEL2020` has 23893 (90.3%) missing values	Missing

Reproduction

Analysis started	2022-09-22 15:20:40.142185
Analysis finished	2022-09-22 15:21:00.672921
Duration	20.53 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

LAT
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	192
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.40020996

Minimum	16.9375
Maximum	17.8925
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	16.9375
5-th percentile	17.0325
Q1	17.2175
median	17.3975
Q3	17.5775
95-th percentile	17.7825
Maximum	17.8925
Range	0.955
Interquartile range (IQR)	0.36

Descriptive statistics

Standard deviation	0.2316771372
Coefficient of variation (CV)	0.01331461734
Kurtosis	-0.9851021179
Mean	17.40020996
Median Absolute Deviation (MAD)	0.18
Skewness	0.05136507924
Sum	460374.755
Variance	0.05367429588
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17.4775	195	0.7%
17.4975	195	0.7%
17.5075	194	0.7%
17.4925	194	0.7%
17.5025	194	0.7%
17.3125	193	0.7%
17.4875	193	0.7%
17.3075	193	0.7%
17.3175	192	0.7%
17.4725	192	0.7%
Other values (182)	24523	92.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16.9375	3	< 0.1%
16.9425	6	< 0.1%
16.9475	13	< 0.1%
16.9525	17	0.1%
16.9575	22	0.1%
16.9625	29	0.1%
16.9675	41	0.2%
16.9725	54	0.2%
16.9775	56	0.2%
16.9825	67	0.3%

Value	Count	Frequency (%)
17.8925	3	< 0.1%
17.8875	9	< 0.1%
17.8825	10	< 0.1%
17.8775	11	< 0.1%
17.8725	18	0.1%
17.8675	28	0.1%
17.8625	31	0.1%
17.8575	36	0.1%
17.8525	41	0.2%
17.8475	42	0.2%

LON
Real number (ℝ_≥0)

Distinct	208
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	78.47750121

Minimum	78.0075
Maximum	79.0425
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	78.0075
5-th percentile	78.1125
Q1	78.2775
median	78.4775
Q3	78.6675
95-th percentile	78.8775
Maximum	79.0425
Range	1.035
Interquartile range (IQR)	0.39

Descriptive statistics

Standard deviation	0.2377368942
Coefficient of variation (CV)	0.003029363709
Kurtosis	-0.9561032173
Mean	78.47750121
Median Absolute Deviation (MAD)	0.195
Skewness	0.1112356494
Sum	2076357.727
Variance	0.05651883084
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78.5225	180	0.7%
78.5475	179	0.7%
78.5175	179	0.7%
78.5125	179	0.7%
78.4775	179	0.7%
78.48251	178	0.7%
78.5425	178	0.7%
78.4625	178	0.7%
78.4675	177	0.7%
78.4725	177	0.7%
Other values (198)	24674	93.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
78.0075	3	< 0.1%
78.0125	4	< 0.1%
78.0175	6	< 0.1%
78.0225	9	< 0.1%
78.0275	12	< 0.1%
78.0325	15	0.1%
78.03751	19	0.1%
78.0425	21	0.1%
78.0475	27	0.1%
78.05251	45	0.2%

Value	Count	Frequency (%)
79.0425	1	< 0.1%
79.03751	3	< 0.1%
79.0325	5	< 0.1%
79.0275	7	< 0.1%
79.0225	11	< 0.1%
79.0175	11	< 0.1%
79.0125	11	< 0.1%
79.0075	12	< 0.1%
79.0025	12	< 0.1%
78.99751	14	0.1%

2013
Real number (ℝ)

HIGH CORRELATION

Distinct	13450
Distinct (%)	50.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4207330437

Minimum	-0.03517
Maximum	0.67606
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	206.8 KiB

Quantile statistics

Minimum	-0.03517
5-th percentile	0.3181195
Q1	0.39986
median	0.42561
Q3	0.4495
95-th percentile	0.49527
Maximum	0.67606
Range	0.71123
Interquartile range (IQR)	0.04964

Descriptive statistics

Standard deviation	0.05464817167
Coefficient of variation (CV)	0.1298879955
Kurtosis	4.478441875
Mean	0.4207330437
Median Absolute Deviation (MAD)	0.024865
Skewness	-1.056008228
Sum	11131.75487
Variance	0.002986422667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.42291	12	< 0.1%
0.43007	10	< 0.1%
0.4281	9	< 0.1%
0.4251	9	< 0.1%
0.43423	9	< 0.1%
0.42685	9	< 0.1%
0.41363	9	< 0.1%
0.43055	9	< 0.1%
0.4381	9	< 0.1%
0.42577	9	< 0.1%
Other values (13440)	26364	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.03517	1	< 0.1%
-0.00267	1	< 0.1%
0.0012	1	< 0.1%
0.00631	1	< 0.1%
0.05611	1	< 0.1%
0.05677	1	< 0.1%
0.05738	1	< 0.1%
0.05758	1	< 0.1%
0.05908	1	< 0.1%
0.06355	1	< 0.1%

Value	Count	Frequency (%)
0.67606	1	< 0.1%
0.67375	1	< 0.1%
0.66638	1	< 0.1%
0.66317	1	< 0.1%
0.66025	1	< 0.1%
0.65981	1	< 0.1%
0.6567	1	< 0.1%
0.65665	1	< 0.1%
0.656	1	< 0.1%
0.64681	1	< 0.1%

2014
Real number (ℝ)

HIGH CORRELATION

Distinct	14576
Distinct (%)	55.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4159277769

Minimum	-0.04602
Maximum	0.68919
Zeros	0
Zeros (%)	0.0%
Negative	4
Negative (%)	< 0.1%
Memory size	206.8 KiB

Quantile statistics

Minimum	-0.04602
5-th percentile	0.3107595
Q1	0.38753
median	0.41967
Q3	0.44939
95-th percentile	0.5026415
Maximum	0.68919
Range	0.73521
Interquartile range (IQR)	0.06186

Descriptive statistics

Standard deviation	0.05989031225
Coefficient of variation (CV)	0.1439920957
Kurtosis	3.176856273
Mean	0.4159277769
Median Absolute Deviation (MAD)	0.030745
Skewness	-0.6312590202
Sum	11004.61712
Variance	0.003586849502
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.4322	9	< 0.1%
0.41681	9	< 0.1%
0.43249	9	< 0.1%
0.40917	8	< 0.1%
0.41171	8	< 0.1%
0.40434	8	< 0.1%
0.43802	8	< 0.1%
0.41715	8	< 0.1%
0.3977	8	< 0.1%
0.4168	8	< 0.1%
Other values (14566)	26375	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.04602	1	< 0.1%
-0.02443	1	< 0.1%
-0.01918	1	< 0.1%
-0.00857	1	< 0.1%
0.01534	1	< 0.1%
0.01869	1	< 0.1%
0.02325	1	< 0.1%
0.02385	1	< 0.1%
0.04497	1	< 0.1%
0.05025	1	< 0.1%

Value	Count	Frequency (%)
0.68919	1	< 0.1%
0.68728	1	< 0.1%
0.68549	1	< 0.1%
0.67846	1	< 0.1%
0.67487	1	< 0.1%
0.66991	1	< 0.1%
0.66499	1	< 0.1%
0.65609	1	< 0.1%
0.65485	1	< 0.1%
0.65258	1	< 0.1%

2015
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	14213
Distinct (%)	53.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3996727224

Minimum	0.00144
Maximum	0.69087
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	0.00144
5-th percentile	0.310058
Q1	0.3705225
median	0.40068
Q3	0.4306475
95-th percentile	0.485193
Maximum	0.69087
Range	0.68943
Interquartile range (IQR)	0.060125

Descriptive statistics

Standard deviation	0.05570459149
Coefficient of variation (CV)	0.1393755149
Kurtosis	2.543939814
Mean	0.3996727224
Median Absolute Deviation (MAD)	0.03009
Skewness	-0.2240419846
Sum	10574.54089
Variance	0.003103001513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.40545	9	< 0.1%
0.40695	8	< 0.1%
0.39985	8	< 0.1%
0.39608	8	< 0.1%
0.41096	8	< 0.1%
0.37216	8	< 0.1%
0.40919	8	< 0.1%
0.40561	7	< 0.1%
0.40031	7	< 0.1%
0.42297	7	< 0.1%
Other values (14203)	26380	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.00144	1	< 0.1%
0.00218	1	< 0.1%
0.05065	1	< 0.1%
0.0581	1	< 0.1%
0.0741	1	< 0.1%
0.07439	1	< 0.1%
0.08171	1	< 0.1%
0.08223	1	< 0.1%
0.09037	1	< 0.1%
0.09217	1	< 0.1%

Value	Count	Frequency (%)
0.69087	1	< 0.1%
0.68471	1	< 0.1%
0.68182	1	< 0.1%
0.67046	1	< 0.1%
0.66931	1	< 0.1%
0.66247	1	< 0.1%
0.65382	1	< 0.1%
0.6531	1	< 0.1%
0.65143	1	< 0.1%
0.64833	1	< 0.1%

2016
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	13317
Distinct (%)	50.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3787998934

Minimum	0.0774
Maximum	0.68354
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	0.0774
5-th percentile	0.294557
Q1	0.3545625
median	0.379795
Q3	0.4043675
95-th percentile	0.455823
Maximum	0.68354
Range	0.60614
Interquartile range (IQR)	0.049805

Descriptive statistics

Standard deviation	0.05016705066
Coefficient of variation (CV)	0.132436813
Kurtosis	2.827113212
Mean	0.3787998934
Median Absolute Deviation (MAD)	0.02484
Skewness	-0.155404131
Sum	10022.28758
Variance	0.002516732972
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.36656	10	< 0.1%
0.37608	10	< 0.1%
0.40441	10	< 0.1%
0.37178	10	< 0.1%
0.39028	9	< 0.1%
0.36474	9	< 0.1%
0.37089	9	< 0.1%
0.38939	9	< 0.1%
0.38828	9	< 0.1%
0.37509	9	< 0.1%
Other values (13307)	26364	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0774	1	< 0.1%
0.084	1	< 0.1%
0.08764	1	< 0.1%
0.10953	1	< 0.1%
0.11607	1	< 0.1%
0.13531	1	< 0.1%
0.14422	1	< 0.1%
0.1533	1	< 0.1%
0.15412	1	< 0.1%
0.15751	1	< 0.1%

Value	Count	Frequency (%)
0.68354	1	< 0.1%
0.67768	1	< 0.1%
0.66576	1	< 0.1%
0.65307	1	< 0.1%
0.64925	1	< 0.1%
0.6389	1	< 0.1%
0.63049	1	< 0.1%
0.62603	1	< 0.1%
0.62586	1	< 0.1%
0.62444	1	< 0.1%

2017
Real number (ℝ)

HIGH CORRELATION

Distinct	14522
Distinct (%)	54.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4157635452

Minimum	-0.03609
Maximum	0.6929
Zeros	0
Zeros (%)	0.0%
Negative	5
Negative (%)	< 0.1%
Memory size	206.8 KiB

Quantile statistics

Minimum	-0.03609
5-th percentile	0.308447
Q1	0.3874425
median	0.418925
Q3	0.45034
95-th percentile	0.5029845
Maximum	0.6929
Range	0.72899
Interquartile range (IQR)	0.0628975

Descriptive statistics

Standard deviation	0.06016712426
Coefficient of variation (CV)	0.1447147662
Kurtosis	3.263448593
Mean	0.4157635452
Median Absolute Deviation (MAD)	0.03144
Skewness	-0.7126709086
Sum	11000.27188
Variance	0.003620082842
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.43739	9	< 0.1%
0.44156	9	< 0.1%
0.44554	8	< 0.1%
0.41528	8	< 0.1%
0.39527	8	< 0.1%
0.44147	8	< 0.1%
0.41177	8	< 0.1%
0.42281	8	< 0.1%
0.41002	8	< 0.1%
0.42868	8	< 0.1%
Other values (14512)	26376	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.03609	1	< 0.1%
-0.03117	1	< 0.1%
-0.00733	1	< 0.1%
-0.00469	1	< 0.1%
-0.00088	1	< 0.1%
0.00947	1	< 0.1%
0.00981	1	< 0.1%
0.01632	1	< 0.1%
0.02091	1	< 0.1%
0.04006	1	< 0.1%

Value	Count	Frequency (%)
0.6929	1	< 0.1%
0.67971	1	< 0.1%
0.6783	1	< 0.1%
0.67212	1	< 0.1%
0.66959	1	< 0.1%
0.6692	1	< 0.1%
0.66714	1	< 0.1%
0.66418	1	< 0.1%
0.66285	1	< 0.1%
0.66177	1	< 0.1%

2018
Real number (ℝ)

HIGH CORRELATION

Distinct	13790
Distinct (%)	52.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3843198458

Minimum	-0.05067
Maximum	0.69356
Zeros	0
Zeros (%)	0.0%
Negative	3
Negative (%)	< 0.1%
Memory size	206.8 KiB

Quantile statistics

Minimum	-0.05067
5-th percentile	0.2908755
Q1	0.35931
median	0.38671
Q3	0.4124375
95-th percentile	0.4638765
Maximum	0.69356
Range	0.74423
Interquartile range (IQR)	0.0531275

Descriptive statistics

Standard deviation	0.05400839722
Coefficient of variation (CV)	0.140529816
Kurtosis	3.939374132
Mean	0.3843198458
Median Absolute Deviation (MAD)	0.02648
Skewness	-0.359633358
Sum	10168.33448
Variance	0.00291690697
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.37209	10	< 0.1%
0.38895	10	< 0.1%
0.39951	10	< 0.1%
0.39498	10	< 0.1%
0.39365	9	< 0.1%
0.38092	9	< 0.1%
0.39775	9	< 0.1%
0.40811	9	< 0.1%
0.37987	9	< 0.1%
0.38907	9	< 0.1%
Other values (13780)	26364	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.05067	1	< 0.1%
-0.03246	1	< 0.1%
-0.03006	1	< 0.1%
0.00458	1	< 0.1%
0.01215	1	< 0.1%
0.01926	1	< 0.1%
0.02124	1	< 0.1%
0.0275	1	< 0.1%
0.02824	1	< 0.1%
0.02849	1	< 0.1%

Value	Count	Frequency (%)
0.69356	1	< 0.1%
0.69338	1	< 0.1%
0.68986	1	< 0.1%
0.67755	1	< 0.1%
0.67633	1	< 0.1%
0.66699	1	< 0.1%
0.66271	1	< 0.1%
0.6608	1	< 0.1%
0.6606	1	< 0.1%
0.65819	1	< 0.1%

2019
Real number (ℝ)

HIGH CORRELATION

Distinct	13812
Distinct (%)	52.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3808315625

Minimum	-0.02742
Maximum	0.70108
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	< 0.1%
Memory size	206.8 KiB

Quantile statistics

Minimum	-0.02742
5-th percentile	0.286988
Q1	0.35572
median	0.38241
Q3	0.40886
95-th percentile	0.4620815
Maximum	0.70108
Range	0.7285
Interquartile range (IQR)	0.05314

Descriptive statistics

Standard deviation	0.05367306228
Coefficient of variation (CV)	0.1409364863
Kurtosis	3.115297817
Mean	0.3808315625
Median Absolute Deviation (MAD)	0.02656
Skewness	-0.2016911427
Sum	10076.04148
Variance	0.002880797614
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.36195	10	< 0.1%
0.39912	9	< 0.1%
0.36193	9	< 0.1%
0.37973	9	< 0.1%
0.37191	9	< 0.1%
0.38297	9	< 0.1%
0.3829	9	< 0.1%
0.37955	8	< 0.1%
0.38625	8	< 0.1%
0.37268	8	< 0.1%
Other values (13802)	26370	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.02742	1	< 0.1%
-0.02312	1	< 0.1%
0.03251	1	< 0.1%
0.03423	1	< 0.1%
0.055	1	< 0.1%
0.05978	1	< 0.1%
0.06312	1	< 0.1%
0.07601	1	< 0.1%
0.07658	1	< 0.1%
0.08091	1	< 0.1%

Value	Count	Frequency (%)
0.70108	1	< 0.1%
0.69358	1	< 0.1%
0.67977	1	< 0.1%
0.67853	1	< 0.1%
0.67547	1	< 0.1%
0.6694	1	< 0.1%
0.66705	1	< 0.1%
0.66236	1	< 0.1%
0.66174	1	< 0.1%
0.65797	1	< 0.1%

2020
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	14641
Distinct (%)	55.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4336901674

Minimum	0.11012
Maximum	0.70133
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	0.11012
5-th percentile	0.314587
Q1	0.40704
median	0.438895
Q3	0.46806
95-th percentile	0.5231915
Maximum	0.70133
Range	0.59121
Interquartile range (IQR)	0.06102

Descriptive statistics

Standard deviation	0.06068388076
Coefficient of variation (CV)	0.1399245021
Kurtosis	2.100685553
Mean	0.4336901674
Median Absolute Deviation (MAD)	0.030335
Skewness	-0.6852405518
Sum	11474.57445
Variance	0.003682533384
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.45501	11	< 0.1%
0.45222	9	< 0.1%
0.43339	9	< 0.1%
0.44725	8	< 0.1%
0.42517	8	< 0.1%
0.43776	8	< 0.1%
0.4721	8	< 0.1%
0.4279	8	< 0.1%
0.46307	8	< 0.1%
0.44546	7	< 0.1%
Other values (14631)	26374	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.11012	1	< 0.1%
0.11027	1	< 0.1%
0.12451	1	< 0.1%
0.12598	1	< 0.1%
0.13494	1	< 0.1%
0.1373	1	< 0.1%
0.13827	1	< 0.1%
0.14078	1	< 0.1%
0.14133	1	< 0.1%
0.14249	1	< 0.1%

Value	Count	Frequency (%)
0.70133	1	< 0.1%
0.7004	1	< 0.1%
0.70001	1	< 0.1%
0.68096	1	< 0.1%
0.68037	1	< 0.1%
0.67526	1	< 0.1%
0.67437	1	< 0.1%
0.67158	1	< 0.1%
0.66955	1	< 0.1%
0.66581	1	< 0.1%

LABEL2013
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	24111
Missing (%)	91.1%
Memory size	206.8 KiB

Urban	2320
Water	27

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11735
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2320	8.8%
Water	27	0.1%
(Missing)	24111	91.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2320	98.8%
water	27	1.2%

Most occurring characters

Value	Count	Frequency (%)
r	2347	20.0%
a	2347	20.0%
U	2320	19.8%
b	2320	19.8%
n	2320	19.8%
W	27	0.2%
t	27	0.2%
e	27	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9388	80.0%
Uppercase Letter	2347	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2347	25.0%
a	2347	25.0%
b	2320	24.7%
n	2320	24.7%
t	27	0.3%
e	27	0.3%

Uppercase Letter

Value	Count	Frequency (%)
U	2320	98.8%
W	27	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11735	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2347	20.0%
a	2347	20.0%
U	2320	19.8%
b	2320	19.8%
n	2320	19.8%
W	27	0.2%
t	27	0.2%
e	27	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11735	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2347	20.0%
a	2347	20.0%
U	2320	19.8%
b	2320	19.8%
n	2320	19.8%
W	27	0.2%
t	27	0.2%
e	27	0.2%

LABEL2014
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	24081
Missing (%)	91.0%
Memory size	206.8 KiB

Urban	2350
Water	27

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11885
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2350	8.9%
Water	27	0.1%
(Missing)	24081	91.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2350	98.9%
water	27	1.1%

Most occurring characters

Value	Count	Frequency (%)
r	2377	20.0%
a	2377	20.0%
U	2350	19.8%
b	2350	19.8%
n	2350	19.8%
W	27	0.2%
t	27	0.2%
e	27	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9508	80.0%
Uppercase Letter	2377	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2377	25.0%
a	2377	25.0%
b	2350	24.7%
n	2350	24.7%
t	27	0.3%
e	27	0.3%

Uppercase Letter

Value	Count	Frequency (%)
U	2350	98.9%
W	27	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11885	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2377	20.0%
a	2377	20.0%
U	2350	19.8%
b	2350	19.8%
n	2350	19.8%
W	27	0.2%
t	27	0.2%
e	27	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11885	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2377	20.0%
a	2377	20.0%
U	2350	19.8%
b	2350	19.8%
n	2350	19.8%
W	27	0.2%
t	27	0.2%
e	27	0.2%

LABEL2015
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	24080
Missing (%)	91.0%
Memory size	206.8 KiB

Urban	2356
Water	22

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11890
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2356	8.9%
Water	22	0.1%
(Missing)	24080	91.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2356	99.1%
water	22	0.9%

Most occurring characters

Value	Count	Frequency (%)
r	2378	20.0%
a	2378	20.0%
U	2356	19.8%
b	2356	19.8%
n	2356	19.8%
W	22	0.2%
t	22	0.2%
e	22	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9512	80.0%
Uppercase Letter	2378	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2378	25.0%
a	2378	25.0%
b	2356	24.8%
n	2356	24.8%
t	22	0.2%
e	22	0.2%

Uppercase Letter

Value	Count	Frequency (%)
U	2356	99.1%
W	22	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11890	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2378	20.0%
a	2378	20.0%
U	2356	19.8%
b	2356	19.8%
n	2356	19.8%
W	22	0.2%
t	22	0.2%
e	22	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11890	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2378	20.0%
a	2378	20.0%
U	2356	19.8%
b	2356	19.8%
n	2356	19.8%
W	22	0.2%
t	22	0.2%
e	22	0.2%

LABEL2016
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	24080
Missing (%)	91.0%
Memory size	206.8 KiB

Urban	2360
Water	18

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11890
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2360	8.9%
Water	18	0.1%
(Missing)	24080	91.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2360	99.2%
water	18	0.8%

Most occurring characters

Value	Count	Frequency (%)
r	2378	20.0%
a	2378	20.0%
U	2360	19.8%
b	2360	19.8%
n	2360	19.8%
W	18	0.2%
t	18	0.2%
e	18	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9512	80.0%
Uppercase Letter	2378	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2378	25.0%
a	2378	25.0%
b	2360	24.8%
n	2360	24.8%
t	18	0.2%
e	18	0.2%

Uppercase Letter

Value	Count	Frequency (%)
U	2360	99.2%
W	18	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11890	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2378	20.0%
a	2378	20.0%
U	2360	19.8%
b	2360	19.8%
n	2360	19.8%
W	18	0.2%
t	18	0.2%
e	18	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11890	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2378	20.0%
a	2378	20.0%
U	2360	19.8%
b	2360	19.8%
n	2360	19.8%
W	18	0.2%
t	18	0.2%
e	18	0.2%

LABEL2017
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	24051
Missing (%)	90.9%
Memory size	206.8 KiB

Urban	2371
Water	36

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12035
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2371	9.0%
Water	36	0.1%
(Missing)	24051	90.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2371	98.5%
water	36	1.5%

Most occurring characters

Value	Count	Frequency (%)
r	2407	20.0%
a	2407	20.0%
U	2371	19.7%
b	2371	19.7%
n	2371	19.7%
W	36	0.3%
t	36	0.3%
e	36	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9628	80.0%
Uppercase Letter	2407	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2407	25.0%
a	2407	25.0%
b	2371	24.6%
n	2371	24.6%
t	36	0.4%
e	36	0.4%

Uppercase Letter

Value	Count	Frequency (%)
U	2371	98.5%
W	36	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12035	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2407	20.0%
a	2407	20.0%
U	2371	19.7%
b	2371	19.7%
n	2371	19.7%
W	36	0.3%
t	36	0.3%
e	36	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12035	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2407	20.0%
a	2407	20.0%
U	2371	19.7%
b	2371	19.7%
n	2371	19.7%
W	36	0.3%
t	36	0.3%
e	36	0.3%

LABEL2018
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	23977
Missing (%)	90.6%
Memory size	206.8 KiB

Urban	2432
Water	49

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12405
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2432	9.2%
Water	49	0.2%
(Missing)	23977	90.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2432	98.0%
water	49	2.0%

Most occurring characters

Value	Count	Frequency (%)
r	2481	20.0%
a	2481	20.0%
U	2432	19.6%
b	2432	19.6%
n	2432	19.6%
W	49	0.4%
t	49	0.4%
e	49	0.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9924	80.0%
Uppercase Letter	2481	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2481	25.0%
a	2481	25.0%
b	2432	24.5%
n	2432	24.5%
t	49	0.5%
e	49	0.5%

Uppercase Letter

Value	Count	Frequency (%)
U	2432	98.0%
W	49	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12405	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2481	20.0%
a	2481	20.0%
U	2432	19.6%
b	2432	19.6%
n	2432	19.6%
W	49	0.4%
t	49	0.4%
e	49	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12405	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2481	20.0%
a	2481	20.0%
U	2432	19.6%
b	2432	19.6%
n	2432	19.6%
W	49	0.4%
t	49	0.4%
e	49	0.4%

LABEL2019
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	23938
Missing (%)	90.5%
Memory size	206.8 KiB

Urban	2485
Water	35

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12600
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2485	9.4%
Water	35	0.1%
(Missing)	23938	90.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2485	98.6%
water	35	1.4%

Most occurring characters

Value	Count	Frequency (%)
r	2520	20.0%
a	2520	20.0%
U	2485	19.7%
b	2485	19.7%
n	2485	19.7%
W	35	0.3%
t	35	0.3%
e	35	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10080	80.0%
Uppercase Letter	2520	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2520	25.0%
a	2520	25.0%
b	2485	24.7%
n	2485	24.7%
t	35	0.3%
e	35	0.3%

Uppercase Letter

Value	Count	Frequency (%)
U	2485	98.6%
W	35	1.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12600	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2520	20.0%
a	2520	20.0%
U	2485	19.7%
b	2485	19.7%
n	2485	19.7%
W	35	0.3%
t	35	0.3%
e	35	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12600	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2520	20.0%
a	2520	20.0%
U	2485	19.7%
b	2485	19.7%
n	2485	19.7%
W	35	0.3%
t	35	0.3%
e	35	0.3%

LABEL2020
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	23893
Missing (%)	90.3%
Memory size	206.8 KiB

Urban	2550
Water	15

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12825
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2550	9.6%
Water	15	0.1%
(Missing)	23893	90.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2550	99.4%
water	15	0.6%

Most occurring characters

Value	Count	Frequency (%)
r	2565	20.0%
a	2565	20.0%
U	2550	19.9%
b	2550	19.9%
n	2550	19.9%
W	15	0.1%
t	15	0.1%
e	15	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10260	80.0%
Uppercase Letter	2565	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2565	25.0%
a	2565	25.0%
b	2550	24.9%
n	2550	24.9%
t	15	0.1%
e	15	0.1%

Uppercase Letter

Value	Count	Frequency (%)
U	2550	99.4%
W	15	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12825	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2565	20.0%
a	2565	20.0%
U	2550	19.9%
b	2550	19.9%
n	2550	19.9%
W	15	0.1%
t	15	0.1%
e	15	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12825	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2565	20.0%
a	2565	20.0%
U	2550	19.9%
b	2550	19.9%
n	2550	19.9%
W	15	0.1%
t	15	0.1%
e	15	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	LAT	LON	2013	2014	2015	2016	2017	2018	2019	2020	LABEL2013	LABEL2014	LABEL2015	LABEL2016	LABEL2017	LABEL2018	LABEL2019	LABEL2020
0	17.3225	78.0075	0.35729	0.37116	0.36133	0.35694	0.37248	0.34203	0.31961	0.37996	None	None	None	None	None	None	None	None
1	17.3275	78.0075	0.38009	0.38530	0.38388	0.38077	0.39532	0.35160	0.32587	0.39876	None	None	None	None	None	None	None	None
2	17.3325	78.0075	0.40148	0.41639	0.40740	0.39464	0.41569	0.36443	0.33475	0.42572	None	None	None	None	None	None	None	None
3	17.3225	78.0125	0.35981	0.37591	0.35774	0.34819	0.37457	0.32586	0.31050	0.38240	None	None	None	None	None	None	None	None
4	17.3275	78.0125	0.37971	0.39027	0.38710	0.38317	0.39949	0.33789	0.31540	0.38711	None	None	None	None	None	None	None	None
5	17.3325	78.0125	0.39088	0.41230	0.40304	0.39797	0.42067	0.34534	0.32056	0.41159	None	None	None	None	None	None	None	None
6	17.3375	78.0125	0.40226	0.41691	0.41688	0.40204	0.44145	0.36254	0.33484	0.44026	None	None	None	None	None	None	None	None
7	17.3125	78.0175	0.35855	0.39118	0.35860	0.34654	0.40562	0.34158	0.32099	0.39045	None	None	None	None	None	None	None	None
8	17.3175	78.0175	0.35239	0.38464	0.34855	0.33644	0.37175	0.32215	0.30093	0.38475	None	None	None	None	None	None	None	None
9	17.3225	78.0175	0.37079	0.38411	0.35326	0.34726	0.37890	0.32150	0.30883	0.38772	None	None	None	None	None	None	None	None

Last rows

	LAT	LON	2013	2014	2015	2016	2017	2018	2019	2020	LABEL2013	LABEL2014	LABEL2015	LABEL2016	LABEL2017	LABEL2018	LABEL2019	LABEL2020
26448	17.5175	79.02750	0.44562	0.36791	0.35829	0.36454	0.42940	0.36070	0.39507	0.44479	None	None	None	None	None	None	None	None
26449	17.4925	79.03250	0.40707	0.35640	0.34520	0.32641	0.37829	0.35432	0.37246	0.42446	None	None	None	None	None	None	None	None
26450	17.4975	79.03250	0.41941	0.36549	0.35974	0.34070	0.39964	0.37168	0.38438	0.43044	None	None	None	None	None	None	None	None
26451	17.5025	79.03250	0.43173	0.38452	0.38183	0.36224	0.41592	0.38946	0.39839	0.44594	None	None	None	None	None	None	None	None
26452	17.5075	79.03250	0.44064	0.40338	0.39187	0.37433	0.42419	0.40239	0.40659	0.44797	None	None	None	None	None	None	None	None
26453	17.5125	79.03250	0.44256	0.39413	0.38830	0.37734	0.42831	0.38659	0.40121	0.44743	None	None	None	None	None	None	None	None
26454	17.4975	79.03751	0.41896	0.36106	0.36272	0.34624	0.39445	0.37177	0.38386	0.43411	None	None	None	None	None	None	None	None
26455	17.5025	79.03751	0.42990	0.38245	0.38196	0.36419	0.41835	0.38922	0.39890	0.45123	None	None	None	None	None	None	None	None
26456	17.5075	79.03751	0.43843	0.40499	0.39334	0.36792	0.42712	0.40560	0.41735	0.46986	None	None	None	None	None	None	None	None
26457	17.5075	79.04250	0.43204	0.39528	0.38166	0.35301	0.41862	0.40042	0.41502	0.47227	None	None	None	None	None	None	None	None

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter